Importance of Faith on Medical Decisions Regarding Cancer Care

2003 ◽  
Vol 21 (7) ◽  
pp. 1379-1382 ◽  
Author(s):  
Gerard A. Silvestri ◽  
Sommer Knittig ◽  
James S. Zoller ◽  
Paul J. Nietert

Purpose: Decisions regarding cancer treatment choices can be difficult. Several factors may influence the decision to undergo treatment. One poorly understood factor is the influence of a patient’s faith on how they make medical decisions. We compared the importance of faith on treatment decisions among doctors, patients, and patient caregivers. Methods: One hundred patients with advanced lung cancer, their caregivers, and 257 medical oncologists were interviewed. Participants were asked to rank the importance of the following factors that might influence treatment decisions: cancer doctor’s recommendation, faith in God, ability of treatment to cure disease, side effects, family doctor’s recommendation, spouse’s recommendation, and children’s recommendation. Results: All three groups ranked the oncologist’s recommendation as most important. Patients and caregivers ranked faith in God second, whereas physicians placed it last (P < .0001). Patients who placed a high priority on faith in God had less formal education (P < .0001). Conclusion: Patients and caregivers agree on the factors that are important in deciding treatment for advanced lung cancer but differ substantially from doctors. All agree that the oncologist’s recommendation is most important. This is the first study to demonstrate that, for some, faith is an important factor in medical decision making, more so than even the efficacy of treatment. If faith plays an important role in how some patients decide treatment, and physicians do not account for it, the decision-making process may be unsatisfactory to all involved. Future studies should clarify how faith influences individual decisions regarding treatment.

Author(s):  
S.Yu. Zhuleva ◽  
A.V. Kroshilin ◽  
S.V. Kroshilina

The process of making a medical decision is characterized by a lack of knowledge and inconsistency of the available information, the lack of the possibility of attracting competent medical experts, limited time resources, incomplete or inaccurate information about the patient's condition. These aspects may be the causes of medical errors, which lead to further aggravation of the problem situation. Purpose – it is necessary to define and justify managerial medical decisions and types of medical information in conditions of uncertainty, when each variant of the sets of outcomes of the situation (recommendations) has its own unique set of values. The fundamental difference between this process for medical use is the concept of the "best medical solution", in which the key role is given to the patient's state of health in obtaining and evaluating alternatives, as well as the need to take into account the time, adverse reactions of the body and the costs of implementing this solution. In the medical field, support for medical decision-making can be classified as organizational-managerial and therapeutic-diagnostic, but both are determined by the position of the person making the medical decision and are aimed at effective management of the medical institution as a whole. The article describes the causes and factors of the nature of uncertainty in the tasks of supporting medical decision-making in medical-diagnostic and organizational-managerial areas. The analysis of the features of supporting medical decision-making in conditions of uncertainty is carried out. Approaches and directions in this area, as well as the concept of “solution”, are considered. The essence of the management medical decision is reflected. The classification of management medical decisions is given, the requirements that are imposed on them are highlighted. The features of the development of management medical solutions in the conditions of incompleteness and uncertainty, the problems that arise when they are implemented in information systems are presented. The general scheme of the process of creating a management medical solution is shown. The features of making group and individual decisions are reflected. The algorithm of actions of the person making the medical decision in the conditions of uncertainty, incompleteness and risk in medical subject areas is presented.


2010 ◽  
Vol 13 (10) ◽  
pp. 1199-1203 ◽  
Author(s):  
Koen Pardon ◽  
Reginald Deschepper ◽  
Robert Vander Stichele ◽  
Jan L. Bernheim ◽  
Freddy Mortier ◽  
...  

2020 ◽  
pp. 141-161
Author(s):  
Jeff Levin

A history of the important contributions of religious and theological scholars to the birth and growth of the field of medical ethics. Religious values influence medical decision-making in the clinical setting and across the life course for many controversial issues, such as abortion and euthanasia. However, conclusions regarding those procedures or courses of action that are proscribed (forbidden or discouraged) or prescribed (mandated or recommended) by respective religious codes (e.g., halachah, or Jewish law) often differ across and among Protestant, Catholic, and Jewish bioethicists and those of other faith traditions. The work of leading scholars in this field is discussed, with special reference to difficult medical decisions at the beginning and end of life.


Author(s):  
Jonathan M. Marron ◽  
Kaitlin Kyi ◽  
Paul S. Appelbaum ◽  
Allison Magnuson

Modern oncology practice is built upon the idea that a patient with cancer has the legal and ethical right to make decisions about their medical care. There are situations in which patients might no longer be fully able to make decisions on their own behalf, however, and some patients never were able to do so. In such cases, it is critical to be aware of how to determine if a patient has the ability to make medical decisions and what should be done if they do not. In this article, we examine the concept of decision-making capacity in oncology and explore situations in which patients may have altered/diminished capacity (e.g., depression, cognitive impairment, delirium, brain tumor, brain metastases, etc.) or never had decisional capacity (e.g., minor children or developmentally disabled adults). We describe fundamental principles to consider when caring for a patient with cancer who lacks decisional capacity. We then introduce strategies for capacity assessment and discuss how clinicians might navigate scenarios in which their patients could lack capacity to make decisions about their cancer care. Finally, we explore ways in which pediatric and medical oncology can learn from one another with regard to these challenging situations.


2020 ◽  
pp. OP.20.00117
Author(s):  
Ravi Salgia ◽  
Isa Mambetsariev ◽  
Rebecca Pharaon ◽  
Jeremy Fricke ◽  
Angel Ray Baroz ◽  
...  

PURPOSE: Omic-informed therapy is being used more frequently for patients with non–small-cell lung cancer (NSCLC) being treated on the basis of evidence-based decision-making. However, there is a lack of a standardized framework to evaluate those decisions and understand the association between omics-based management strategies and survival among patients. Therefore, we compared outcomes between patients with lung adenocarcinoma who received omics-driven targeted therapy versus patients who received standard therapeutic options. PATIENTS AND METHODS: This was a retrospective study of patients with advanced NSCLC adenocarcinoma (N = 798) at City of Hope who received genomic sequencing at the behest of their treating oncologists. A thoracic oncology registry was used as a clinicogenomic database to track patient outcomes. RESULTS: Of 798 individuals with advanced NSCLC (median age, 65 years [range, 22-99 years]; 60% white; 50% with a history of smoking), 662 patients (83%) had molecular testing and 439 (55%) received targeted therapy on the basis of the omic-data. A fast-and-frugal decision tree (FFT) model was developed to evaluate the impact of omics-based strategy on decision-making, progression-free survival (PFS), and overall survival (OS). We calculated that the overall positive predictive value of the entire FFT strategy for predicting decisions regarding the use of tyrosine kinase inhibitor–based targeted therapy was 88% and the negative predictive value was 96%. In an adjusted Cox regression analysis, there was a significant correlation with survival benefit with the FFT omics-driven therapeutic strategy for both PFS (hazard ratio [HR], 0.56; 95% CI, 0.42 to 0.74; P < .001) and OS (HR, 0.51; 95% CI, 0.36 to 0.71; P < .001) as compared with standard therapeutic options. CONCLUSION: Among patients with advanced NSCLC who received care in the academic oncology setting, omics-driven therapy decisions directly informed treatment in patients and was correlated with better OS and PFS.


2020 ◽  
Vol 5 (2) ◽  
pp. 238146832094070
Author(s):  
Andrea Meisman ◽  
Nancy M. Daraiseh ◽  
Phil Minar ◽  
Marlee Saxe ◽  
Ellen A. Lipstein

Purpose. To understand the medical decision support needs specific to adolescents and young adults (AYAs) with ulcerative colitis (UC) and inform development of a decision support tool addressing AYAs’ preferences. Methods. We conducted focus groups with AYAs with UC and mentors from a pediatric inflammatory bowel disease clinic’s peer mentoring program. Focus groups were led by a single trained facilitator using a semistructured guide aimed at eliciting AYAs’ roles in medical decision making and perceived decision support needs. All focus groups were audio recorded, transcribed, and coded by the research team. Data were analyzed using content analysis and the immersion crystallization method. Results. The facilitator led six focus groups: one group with peer mentors aged 18 to 24 years, three groups with patients aged 14 to 17 years, and two groups with patients aged 18 to 24 years. Decision timing and those involved in decision making were identified as interacting components of treatment decision making. Treatment decisions by AYAs were further based on timing, location (inpatient v. outpatient), and family preference for making decisions during or outside of clinic. AYAs involved parents and health care providers in medical decisions, with older participants describing themselves as “final decision makers.” Knowledge and experience were facilitators identified to participating in medical decision making. Conclusions. AYAs with UC experience changes to their roles in medical decisions over time. The support needs identified will inform the development of strategies, such as decision support tools, to help AYAs with chronic conditions develop and use skills needed for participating in medical decision making.


Lab on a Chip ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 2854-2865 ◽  
Author(s):  
Da Jung Jung ◽  
Tae Hoon Shin ◽  
Minsuh Kim ◽  
Chang Ohk Sung ◽  
Se Jin Jang ◽  
...  

Microfluidic devices as translational research tools offers opportunities to aid in reliable medical decision making and to develop customized patient care through predictive modeling of drug sensitivity in patient-derived cancer organoids.


2016 ◽  
Vol 13 (11) ◽  
pp. 1969-1976 ◽  
Author(s):  
Marilyn M. Schapira ◽  
Charu Aggarwal ◽  
Scott Akers ◽  
Jaya Aysola ◽  
Diana Imbert ◽  
...  

2020 ◽  
Author(s):  
Mareike Benecke ◽  
Jürgen Kasper ◽  
Christoph Heesen ◽  
Nina Schäffler ◽  
Daniel Reissmann

Abstract Background: Evidence-based Dentistry (EBD), decision aids, patient preferences and autonomy preferences (AP) play an important role in shared decision making (SDM) and are useful tools in the process of medical and dental decisions as well as in developing of quality criteria for decision making in many fields of health care. However, there aren’t many studies on SDM and AP in the field of dentistry. This study aimed at exploring patients’ autonomy preferences in dentistry in comparison to other medical domains. Methods: As a first step, a consecutive sample of 100 dental patients and 16 dentists was recruited at a university-based prosthodontic clinic to assess and compare patients’ and dentists’ preferences regarding their roles in dental decision making for commonly performed diagnostic and treatment decisions using the Control Preference Scale (CPS). This was followed by a cross sectional survey to study autonomy preferences in three cohorts of 100 patients each recruited from general practices, a multiple sclerosis clinic, and a university-based prosthodontic clinic . A questionnaire with combined items from the Autonomy Preference Index (API) to assess general and the CPS to assess specific preferences was used in this process. Results: Dentists were slightly less willing to deliver control than patients willing to enact autonomy. Decisions about management of tooth loss were however considered relevant for a shared decision making by both parties. Highest AP was expressed by people with multiple sclerosis, lowest by patients in dentistry (CPS means: dentistry 2.5, multiple sclerosis 2.1, general practice 2.4, p=.035). Patients analysis showed considerable differences in autonomy preferences referring to different decision types (p<.001). More autonomy was needed for treatment decisions in comparison to diagnostic decisions, for trivial compared to severe conditions, and for dental care compared to general practice (all: p<.001). Conclusion: The study results showed substantial relevance of patient participation in decision making in dentistry. Furthermore, a need has been discovered to refer to specific medical decisions instead of assessing autonomy preferences in general.


2019 ◽  
Vol 26 (2) ◽  
pp. 1152-1176 ◽  
Author(s):  
Motti Haimi ◽  
Shuli Brammli-Greenberg ◽  
Yehezkel Waisman ◽  
Nili Stein ◽  
Orna Baron-Epel

The complex process of medical decision-making is prone also to medically extraneous influences or “non-medical” factors. We aimed to investigate the possible role of non-medical factors in doctors’ decision-making process in a telemedicine setting. Interviews with 15 physicians who work in a pediatric telemedicine service were conducted. Those included a qualitative section, in which the physicians were asked about the role of non-medical factors in their decisions. Their responses to three clinical scenarios were also analyzed. In an additional quantitative section, a random sample of 339 parent -physician consultations, held during 2014–2017, was analyzed retrospectively. Various non-medical factors were identified with respect to their possible effect on primary and secondary decisions, the accuracy of diagnosis, and “reasonability” of the decisions. Various non-medical factors were found to influence physicians’ decisions. Those factors were related to the child, the applying parent, the physician, the interaction between the doctor and parents, the shift, and to demographic considerations, and were also found to influence the ability to make an accurate diagnosis and “reasonable” decisions. Our conclusion was that non-medical factors have an impact on doctor’s decisions, even in the setting of telemedicine, and should be considered for improving medical decisions in this milieu.


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